agentdb-advanced
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems…
Orchestrate multi-phase deep research with web search, memory retrieval, pattern matching, and synthesis into structured findings
$ npx -y skills add ruvnet/ruflo --skill deep-research --agent claude-codeHow it fires
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/deep-researchContext preview
The summary Claude sees to decide when to auto-load this skill.
Orchestrate multi-phase deep research with web search, memory retrieval, pattern matching, and synthesis into structured findings
name: deep-research description: Orchestrate multi-phase deep research with web search, memory retrieval, pattern matching, and synthesis into structured findings argument-hint: "<topic>" allowed-tools: mcp__plugin_ruflo-core_ruflo__memory_store mcp__plugin_ruflo-core_ruflo__memory_search mcp__plugin_ruflo-core_ruflo__memory_search_unified mcp__plugin_ruflo-core_ruflo__agentdb_hierarchical-store mcp__plugin_ruflo-core_ruflo__agentdb_hierarchical-recall mcp__plugin_ruflo-core_ruflo__agentdb_pattern-search mcp__plugin_ruflo-core_ruflo__agentdb_pattern-store mcp__plugin_ruflo-core_ruflo__neural_predict mcp__plugin_ruflo-core_ruflo__hooks_intelligence_pattern-search mcp__plugin_ruflo-core_ruflo__hooks_intelligence_pattern-store mcp__plugin_ruflo-core_ruflo__task_create mcp__plugin_ruflo-core_ruflo__task_list mcp__plugin_ruflo-core_ruflo__task_summary Bash WebSearch WebFetch Read Write
Orchestrate multi-phase deep research campaigns that gather, cross-reference, and synthesize information from multiple sources.
When you need to investigate a complex topic thoroughly — spanning web sources, codebase patterns, stored memory, and external documentation — and produce a structured synthesis.
1. **Define research scope** — break the question into 3-7 sub-questions that together answer the main question 2. **Search existing knowledge** — call `mcp__plugin_ruflo-core_ruflo__memory_search_unified` and `mcp__plugin_ruflo-core_ruflo__agentdb_pattern-search` to check what's already known 3. **Web research** — use `WebSearch` and `WebFetch` to gather external information for each sub-question 4. **Codebase analysis** — use `Bash` (grep/find), `Read` to examine relevant source files 5. **Cross-reference** — compare findings across sources, identify agreements and contradictions 6. **Store findings** — call `mcp__plugin_ruflo-core_ruflo__memory_store` with namespace `research` for each key finding 7. **Store patterns** — call `mcp__plugin_ruflo-core_ruflo__agentdb_pattern-store` for reusable patterns discovered 8. **Synthesize** — produce a structured research report with:
An agent meta-harness for Claude Code and Codex. 📖 RuFlo Explained — Build an AI Team That Plans, Remembers, Tests, and Improves A 14-chapter guide: from the basic idea to a first useful task, then memory, agent teams, plugins, cost and verification.
Repo: ruvnet/ruflo
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